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Explainable Artificial Intelligence (XAI) in auditing
International Journal of Accounting Information Systems, 2022Chanyuan (Abigail) Zhang +2 more
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Explainable Artificial Intelligence (XAI): An Introduction
Bibliographic reference / Référence bibliographique (RDA/ISBD) BRITO, João B. G. Explainable Artificial Intelligence (XAI): An Introduction — From Black Boxesto Transparent Decision Models. 1st ed. – Ghent : Zenodo, 2024. 82 p. ; 29,7 cm. — ( Data ScienceSeries ; vol. 3 ). DOI 10.5281/zenodo.17545855. ISBN 978-65-01-79603-1.openaire +1 more source
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
Nature Reviews Clinical Oncology, 2021Kaustav Bera +2 more
exaly
Special issue on Explainable Artificial Intelligence (XAI)
Artificial Intelligence, 2022Tim Miller +3 more
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Explainable Artificial Intelligence (XAI) for Emotion Detection
This chapter delves into the significance of explainable artificial intelligence (XAI) in emotion detection (ED) systems, which aim to provide transparency and interpretability in affective computing. The chapter introduces ED systems, defining their purpose and importance in various industries.Madan Mohan Tito Ayyalasomayajula +2 more
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Significance of Explainable Artificial Intelligence (XAI) in Marketing
Proceedings of the 29th International Scientific Conference Strategic Management and Decision Support Systems in Strategic ManagementExplainable artificial intelligence (XAI) is increasingly crucial due to its extremely important role in modern marketing, as it advances predictive analytics of consumer behavior and analysis of the purchase decision-making process. This paper examines the importance of XAI in marketing, emphasizing its role in improving the effectiveness and ...
Zvjezdana Krstić, Mirjana Maksimović
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Artificial channels for confined mass transport at the sub-nanometre scale
Nature Reviews Materials, 2021Jie Shen, Gong-Ping Liu, Yu Han
exaly
Explainable Artificial Intelligence (XAI) as a foundation for trustworthy artificial intelligence
The rapid integration of artificial intelligence (AI) into various sectors necessitates a focus on trustworthiness, characterized by principles such as fairness, transparency, accountability, robustness, privacy, and ethics. Explainable AI has become essential and central to the achievement of trustworthy AI by answering the "black box" nature of top ...Nitin Liladhar Rane +1 more
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